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Shaurya praised for depth, patience, and expertise in data science with effective communication and constructive feedback.

Machine Learning

Python

Georgia Institute of Technology

Ask away anything related to my expertise. I’ll try my best to help you out 🙂

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Let's talk about your career aspirations in depth, review your resume accordingly &amp; craft an action plan to make it one of the bests out there.

1:1 Resume Building for Data Job

Ask about GenAI LLMs (ChatGPT)

Let’s have an in-depth chat on your academics/career &amp; establish a roadmap for you with micro action items to achieve your dream career. I have given various college workshops &amp; personal mentorship sessions to over 100s of students and professionals over the years. Most of them have already converted their dream internships &amp; interviews into PPO's &amp; FTE roles respectively. Types of Mentorship Sessions: 1. Career Development 2. Interview preparations 3. Identifying "Your" core strengths, weaknesses &amp; knack 4. Choosing "Your" Optimal Career 5. Resume/Profile Building &amp; Review 6. Roles/Jobs Switch 7. Understanding IT culture &amp; best practices 8. Communication Skills enhancement 9. Professional Growth 10. Time Management etc. You never know if you might be just a session away from making a life-changing decision &amp; opening a fresh venture full of golden opportunities for yourself! :)

1:1 Mentorship (Get Career-Related Doubts Cleared)

I have good data science hiring experience building an entire team in my past roles.I have taken about 150+ interview for Data Roles. Data Scientist: Mock Interview will cover 3 sections: Section 1: Python Programming - Algo&amp;DS (20mins) Section 2: Analytics Questions Section 3: Case-based Data Science Qs Data Analyst: Mock Interview will cover 2 sections:Section 1: SQL Questions (40mins); Section 2: Business Product Case Study ( 10mins ) Data Engineer: Mock Interview will cover 3 sections: Section 1: Algo&amp;DS, Section 2: SQL, Section 3: Schema Design Case Study 50mins of Interview and 10mins of feedback with action-items

Mock Interview - Data Science/Data Analyst/Data Engineer

I have worked across different domains in Data Science. I have experience with Fintech, E-Pharmacy, E-Commerce, and Edtech. This service is for someone who wants to understand how and where they can leverage the power of data within their systems.

Consultant - Product, Data Science & Analytics

I am a data scientist who has experience working with burgeoning companies like Glance (Inmobi Group), EpiFi, and Tata 1mg. 
I also have worked with different companies e.g. InterviewBit, Dezyre, and, RateCity as a research data science consultant.

My Domain Expertise is in Fintech, Edtech, and Ecommerce where I have built: recommendation engines, time-series forecasting models, product data science, natural language processing, etc. 

I have a bias for action, solution-oriented, and have a good track record in communicating with stakeholders and establishing credibility. My role involves deciphering heaps of data, analyzing it, churning out meaningful insights from the data, and assisting stakeholders to make data-driven decisions.

I have experience in developing end-to-end data science models helping companies move business metrics. I constantly learn new things and explore new realms of data science.